Lessons learned from the MOMENT study on how to recruit and retain a target population online, across borders, and with automated remote data collection.

Increasingly, studies use social media to recruit, enroll, and collect data from participants. This introduces a threat to data integrity: efforts to produce fraudulent data to receive participant compensation, e.g.

Symptom characteristics, perceived causal attributions, and contextual factors influencing self-care behaviors: An ecological daily assessment study of adults with chronic illness.

Objective: Insights into how symptoms influence self-care can guide patient education and improve symptom control. This study examined symptom characteristics, causal attributions, and contextual factors influencing self-care of adults with arthritis, asthma, chronic obstructive pulmonary disease, diabetes, or heart failure.

Methods: Adults (n = 81) with a symptomatic chronic illness participated in a longitudinal observational study.

Patterns of self-care decision-making and associated factors: A cross-sectional observational study.

Objective: The aim of this study was to identify for the first time patterns of self-care decision-making (i.e. the extent to which participants viewed contextual factors influencing decisions about symptoms) and associated factors among community-dwelling adults with chronic illness.

A Comparison of Family Management Between Families of Children With Autism Spectrum Disorder and Families of Children With Down Syndrome.

Introduction: This cross-sectional study aimed to (1) compare family management between families of children with autism spectrum disorder (ASD) or Down syndrome and (2) evaluate the contribution of the child (ASD behaviors, feeding difficulties, sleep disturbances), caregiver (mental health) and family (social support) factors to the caregiver's perceived condition management ability and effort.

Method: Eighty-five caregivers (56 ASD, 29 Down syndrome) completed quantitative instruments online. Data analysis included independent samples t-tests and multiple linear regression.

Self-care management of bothersome symptoms as recommended by clinicians for patients with a chronic condition: A Delphi study.

Background: Chronically medically ill patients often need clinical assistance with symptom management, as well as self-care interventions that can help to reduce the impact of bothersome symptoms. Experienced clinicians can help to guide the development of more effective self-care interventions.

Objective: To create a consensus-based list of common bothersome symptoms of chronic conditions and of self-care management behaviors recommended to patients by clinicians to reduce the impact of these symptoms.

Development and testing of an instrument to measure contextual factors influencing self-care decisions among adults with chronic illness.

Background: Decisions about how to manage bothersome symptoms of chronic illness are complex and influenced by factors related to the patient, their illness, and their environment. Naturalistic decision-making describes decision-making when conditions are dynamically evolving, and the decision maker may be uncertain because the situation is ambiguous and missing information. Contextual factors, including time stress, the perception of high stakes, and input from others may facilitate or complicate decisions about the self-care of symptoms.

Measuring self-care in the general adult population: development and psychometric testing of the Self-Care Inventory.

Background: Self-care is important at all stages of life and health status to promote well-being, prevent disease, and improve health outcomes. Currently, there is a need to better conceptualize self-care in the general adult population and provide an instrument to measure self-care in this group. Therefore, the aim of this study was to develop and evaluate the Self-Care Inventory (SCI), a theory-based instrument to measure self-care in the general adult population.

Correlates of Feeding Difficulties Among Children with Autism Spectrum Disorder: A Systematic Review.

Feeding difficulties related to selective intake, or eating a limited variety of foods, are very common in children with autism spectrum disorder (ASD). A systematic search of PubMed, Embase, PsycInfo, and CINAHL identified 29 studies that evaluated eight correlates: age, ASD symptoms and severity, cognitive and adaptive skills, sensory processing and perception, challenging behavior, weight status, gastrointestinal symptoms, and parenting stress. Feeding difficulties related to selective intake are consistently correlated with impaired sensory processing and perception and tend to be positively associated with rigidity and challenging behavior.

Using mixed methods in cardiovascular nursing research: Answering the why, the how, and the what's next.

Mixed methods is an innovative research approach that can be applied to understand complex cardiovascular phenomena. A mixed methods study involves collecting both quantitative and qualitative data and intentionally integrating the data to provide a better understanding of the phenomena than can be achieved by using a quantitative or qualitative approach alone. Conducting a mixed methods study requires planning and careful attention to methodological rigour in the data collection, analysis, and integration phases.